Weiwei Cui
Computer Vision and Pattern Recognition · 2008–2019
A researcher in the Science corpus: 7 papers; trusts 35 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it; #8,609 of 21,575 by trust here, #8,952 by citations
- Artificial Intelligence — 48 citations into it; #15,028 of 35,345 by trust here, #14,718 by citations
- Signal Processing — 20 citations into it
- Sociology and Political Science — 17 citations into it
- Statistical and Nonlinear Physics — 12 citations into it; #9,687 of 10,127 by trust here, #5,403 by citations
- Safety, Robustness & Interpretability — 9 citations into it
- Information Systems — 8 citations into it
- Statistics and Probability — 7 citations into it
Whom Weiwei Cui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tamara Munzner
- Yuzuru Tanahashi
- Danny Holten
- David M. Blei
- Shixia Liu
- Fernanda B. Viégas
- Hinrich Schütze
- Dorin Comaniciu
- Susan L. Havre
- Gerard A. Salton
Who trusts Weiwei Cui overall
- Shixia Liu
- Mengchen Liu
- Guodao Sun
- Yingcai Wu
- Yuzuru Tanahashi
- Jiaxin Shi
- Xiting Wang
- Z. Li
- Jialun Yin
- Kwan-Liu Ma
Papers from Weiwei Cui's perspective
Ordered by how strongly the researchers Weiwei Cui trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Context preserving dynamic word cloud visualization (2010) — 318 citations
- iForest: Interpreting Random Forests via Visual Analytics (2019) — 181 citations
- Online Visual Analytics of Text Streams (2015) — 82 citations
- A survey on information visualization: recent advances and challenges (2014) — 385 citations
- How Hierarchical Topics Evolve in Large Text Corpora (2014) — 146 citations
- TextFlow: Towards Better Understanding of Evolving Topics in Text (2011) — 426 citations
- Geometry-Based Edge Clustering for Graph Visualization (2008) — 347 citations